Industrial AI's Real Bottleneck Isn't the Algorithm

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...
Inside Higher Ed

Can’t Quit the Lecture? Try Quasi-Active Learning

Step into most college classrooms today and you will likely see a familiar scene: slides glowing at the front, a professor lecturing, students scribbling notes or staring at laptops. Despite decades ...
UroToday

Semi-supervised learning in prostate MRI tumor detection approaches fully supervised performance on external validation.

To evaluate the diagnostic performance of semi-supervised learning models for aggressive prostate cancer detection on MRI compared to fully supervised models trained with additional expert annotations ...
Carson-Newman University

Active Learning vs. Passive Learning: Why It Matters For Online Students

If you’ve ever finished an online lecture and realized you barely remember what was covered, you’ve experienced the difference between active vs. passive learning. In virtual classrooms, it’s easy to ...
GitHub

Solving Semi-Supervised Few-Shot Learning

We investigate the failures of representative semi-supervised learning methods, e.g., FixMatch and DebiasPL, in the challenging few-shot setup for finetuning a pretrained VLM. Our analyses reveal the ...
GitHub

TRAPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning.

TraPO is a semi-supervised reinforcement learning framework that bridges unlabeled and labeled samples for training large reasoning models (LRMs). Built upon GRPO, TraPO leverages a small set of ...
Frontiers

OpenLabCluster: active learning based clustering and classification of animal behaviors based on kinematic body keypoints

Quantifying natural behavior from video recordings is a key component in ethological studies. Markerless pose estimation methods have provided an important step toward that goal by automatically ...
IEEE

IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction

Abstract: Voice-controlled dialog systems have become immensely popular due to their ability to perform a wide range of actions in response to diverse user queries. These agents possess a predefined ...
marktechpost

A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning

In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a SimCLR model to learn meaningful image representations without labels, then ...